Machine Learning Engineer

Extrac.ai; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private Medical Health Insurance

Enhanced pension contributions

33 days of leave

Job summary

ExTrac AI in London is seeking a mid/senior level Machine Learning Engineer to lead and architect agentic systems for large-scale geopolitical analysis. You will collaborate with software engineering and product design to design, evaluate, and productionize models and workflows that scale.

The ideal candidate has hands-on experience with model serving (including small models and LLMs), agent orchestration, and retrieval systems, plus a track record delivering production ML systems in early-stage

Qualifications

• Hands-on experience with production ML systems at scale.
• Experience with model serving (small models and LLMs).
• Ability to make rigorous evaluations and benchmarking decisions.

Responsibilities

• Design systems balancing research velocity with product and production constraints.
• Shape technical decisions on model selection, training, evaluation and deployment.
• Deliver production-ready systems at scale with rigorous engineering practices.
• Take projects from exploration to reliable deployment.
• Uphold high standards for architecture, code quality, evaluation and research.

Skills

Model serving

Agent orchestration

Evaluation & benchmarking

Tools

Retrieval systems

Job description

About ExTrac

ExTrac is a decision intelligence company used by public and private sector organisations operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight.

Our ambition is to become the analytical backbone that organisations rely on when geopolitical uncertainty becomes an opportunity or a strategic risk. More at extrac.ai.

About the Role

We are currently only able to consider applicants who are nationals of a NATO member state, Australia, or New Zealand.

This role is open at both mid and senior level. Scope, autonomy and expected impact will scale with experience and ability. Senior candidates will typically lead technical direction on major initiatives, set standards across the team and mentor others; mid-level candidates will own significant components end-to-end and contribute to broader technical decisions.

The Machine Learning team owns ExTrac's modelling capabilities end-to-end. You will partner directly with software engineering and product design to understand requirements, design and run model evaluations, integrate optimised workflows into production pipelines and ensure results remain reliable at scale.

You will architect cutting-edge agentic systems for large-scale analysis of the geopolitical landscape, train and evaluate domain-specific models for the unique problems our customers face and work with design and engineering to bring them into the product. Alongside domain experts you will translate research into practical solutions for analysts operating at the frontier of their field.

In this role you will set high technical standards and take projects from prototype to reliable production deployment. You will collaborate closely with the engineers who design the data collection and processing backend and engage directly with senior stakeholders.

We look for people who enjoy challenging problems, keep learning and build systems that scale. We value low ego, genuine ownership and a passion for applying AI to high-stakes intelligence challenges.

What you'll do

• Design systems that balance research velocity with real product and production constraints
• Make (and help shape) technical decisions on model selection, training approaches, evaluation and deployment
• Deliver production-ready systems at scale, combining research rigour with pragmatic engineering
• Take projects from early exploration through to reliable deployment
• Uphold high standards for architecture, code quality, evaluation and research practice

What we're looking for

• Technical excellence (working on production systems at scale, research that was used, or end-to-end ownership in an early-stage role)
• Hands-on experience with model serving (small models and LLMs), agent orchestration and retrieval systems
• Rigour in evaluation and benchmarking

What sets you apart

• Early-stage start-up experience
• Building agentic tools and harnesses
• Working on domain specific modelling problems
• Clear writing, systematic thinking and strong communication

Interview Process

• Initial Intro Interview - 30 Minutes
• Technical Assessment - 1 hour
• System Design Assessment - 1 hour
• Founder interview - 30 Minutes

Benefits

• Competitive salary based on skills and experience.
• A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions.
• Enhanced parental leave and a workplace nursery scheme.
• £500/year education budget with more expensive items (like conferences) covered with manager approval.
• 33 days of leave across the year inclusive of bank holidays.
• Flexible working. The team is typically in our central London office two days a week, and you are welcome to come in up to five.

ExTrac AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

ExTrac AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing open role within our organisation. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position but all hiring decisions will be made by a member of our team.